Software Engineer-mlops

6 days ago

Gurgaon Haryana, India BOSTON SCIENTIFIC Full time

Additional Locations India-Haryana Gurgaon Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance At Boston Scientific we ll give you the opportunity to harness all that s within you by working in teams of diverse and high-performing employees tackling some of the most important health industry challenges With access to the latest tools information and training we ll help you in advancing your skills and career Here you ll be supported in progressing - whatever your ambitions Software Engineer-MLOps We are seeking an enthusiastic and detail-oriented MLOps Engineer to support the development deployment and monitoring of machine learning models in production environments This is a hands-on role ideal for candidates looking to grow their skills at the intersection of data science software engineering and DevOps You will work closely with senior MLOps engineers data scientists and software developers to build scalable reliable and automated ML workflows across cloud platforms like AWS and Azure Key Responsibilities include Assist in building and maintaining ML pipelines for data preparation training testing and deployment Support the automation of model lifecycle tasks including versioning packaging and monitoring Build and manage ML workloads on AWS SageMaker Unified studio Bedrock EKS Lambda S3 Athena and Azure Azure ML Foundry AKS ADF Blob Storage Assist with containerizing ML models using Docker and deploying using Kubernetes or cloud-native orchestrators Manage infrastructure using IaC tools such as Terraform Bicep or CloudFormation Participate in implementing CI CD pipelines for ML workflows using GitHub Actions Azure DevOps or Jenkins Contribute to testing frameworks for ML models and data validation e g pytest Great Expectations Ensure robust CI CD pipelines and infrastructure as code IaC using tools like Terraform or CloudFormation Participate in diagnosing issues related to model accuracy latency or infrastructure bottlenecks Continuously improve knowledge of MLOps tools ML frameworks and cloud practices Required Qualification Bachelor s Master s in Computer Science Engineering or related discipline 7 years in Devops with 2 years in MLOps Good Understanding of MLflow Airflow FastAPI Docker Kubernetes and Git Proficient in Python and familiar with bash scripting Exposure to MLOps platforms or tools such as SageMaker Studio Azure ML or GCP Vertex AI Requisition ID 610751 As a leader in medical science for more than 40 years we are committed to solving the challenges that matter most - united by a deep caring for human life Our mission to advance science for life is about transforming lives through innovative medical solutions that improve patient lives create value for our customers and support our employees and the communities in which we operate Now more than ever we have a responsibility to apply those values to everything we do - as a global business and as a global corporate citizen So choosing a career with Boston Scientific NYSE BSX isn t just business it s personal And if you re a natural problem-solver with the imagination determination and spirit to make a meaningful difference to people worldwide we encourage you to apply and look forward to connecting with you

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